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4th IEEE Southwest Symposium on Image Analysis and Interpretation

2-4 April 2000

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  • 4th IEEE Southwest Symposium on Image Analysis and Interpretation

    Publication Year: 2000
    Request permission for commercial reuse | PDF file iconPDF (323 KB)
    Freely Available from IEEE
  • Author index

    Publication Year: 2000, Page(s):310 - 311
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    Freely Available from IEEE
  • Using moment invariants and HMM in facial expression recognition

    Publication Year: 2000, Page(s):305 - 309
    Cited by:  Papers (21)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1648 KB)

    Moment invariants are invariant under shifting, scaling and rotation. They are widely used in pattern recognition because of their discrimination power and robustness. The HMM method is natural and highly reliable way of recognition. In this paper we propose a method for using moment invariants as features and HMM as the recognition method in facial expression recognition. Sequences of four univer... View full abstract»

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  • Hybrid hidden Markov model for face recognition

    Publication Year: 2000, Page(s):36 - 40
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (60 KB)

    In this paper, we introduce a hybrid hidden Markov model (HMM) face recognition system. The proposed system contains a low-complexity 2D HMM-based face recognition (LC 2D-HMM FR) module that carries out a complete search in the compressed domain followed by a 1D HMM-based face recognition (1D-HMM FR) module which refines the search based on a candidate list provided by the first module. We also ex... View full abstract»

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  • On the representation of wideband images using permutations for lossless coding

    Publication Year: 2000, Page(s):237 - 241
    Cited by:  Patents (13)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (80 KB)

    We introduce a novel method for representing and coding wideband signals using permutations. The signal samples are first sorted, and then encoded using differential pulse code modulation. We show that our method is optimal for DPCM coding and develop a novel algorithm for encoding the permutation information efficiently. We show that the new algorithm achieves coding gains over Huffman coding View full abstract»

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  • Texture classification using dominant wavelet packet energy features

    Publication Year: 2000, Page(s):301 - 304
    Cited by:  Papers (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (84 KB)

    This paper proposes a high performance texture classification method using dominant energy features from wavelet packet decomposition. We decompose the texture images with a family of real orthonormal wavelet bases and compute the energy signatures using the wavelet packet coefficients. Then we select a few of the most dominant energy values as features and employ a Mahalanobis distance classifier... View full abstract»

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  • A simple and efficient method for image segmentation with deformable templates

    Publication Year: 2000, Page(s):31 - 35
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (104 KB)

    A method for the automated segmentation of images containing structures of interest is presented in this work. The method employs a template image for which a segmentation is available. Segmentation of the target image is achieved by deforming the template so as to maximize a similarity measure of the target and template images. The deformations are chosen in accordance with a viscous fluid model.... View full abstract»

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  • Bayesian tree-structured image modeling

    Publication Year: 2000, Page(s):232 - 236
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (196 KB)

    Wavelet-domain hidden Markov models have proven to be useful tools for statistical signal and image processing. The hidden Markov tree (HMT) model captures the key features of the joint statistics of the wavelet coefficients of real-world data. One potential drawback to the HMT framework is the need for computationally expensive iterative training (using the EM algorithm, for example). In this pap... View full abstract»

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  • Accurate object outlining by combining space-variant smoothing and interactive editing with the thinning process

    Publication Year: 2000, Page(s):111 - 115
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (108 KB)

    Outlining of objects for two-dimensional images is of great importance in computer graphics, multimedia design, and medical applications. It is however, difficult to get a clear boundary with the existing automatic outlining methods, when a two-dimensional image contains inaccurate information. Here, we present a new algorithm to solve the problem by combining space-variant smoothing and interacti... View full abstract»

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  • Road sign interpretation using matching pursuit method

    Publication Year: 2000, Page(s):202 - 206
    Cited by:  Papers (2)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (92 KB)

    This paper describes a new automatic road sign interpretation method using matching pursuit (MP) filters. There are two processes. The detection process finds the relative position of the road sign in the original distant image and then extracts the internal content of the road sign from the closer-view image. The recognition process consists of two stages: training and testing. In the first stage... View full abstract»

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  • Edge-retaining asymptotic projections onto convex sets for image interpolation

    Publication Year: 2000, Page(s):78 - 82
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (508 KB)

    We propose the concept of asymptotic projections onto convex sets (APOCS) in general and a wavelet (WT)-based, edge-retaining asymptotic POCS (ERAPOCS) algorithm for image interpolation in particular. APOCS differs from POCS in that the projections sequence in one (or more) of the convex sets can enter a desired region rapidly. Like POCS, our proposed algorithm is guaranteed to converge. Our new a... View full abstract»

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  • Computer assisted landmarking of cephalometric radiographs

    Publication Year: 2000, Page(s):296 - 300
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (244 KB)

    We address the problem of finding an initial estimation of the location of landmarks on an image, when the landmarks are difficult to distinguish on the image and when the locations are dependent together from external forces such as growth. Our method solves the problem using an adaptive coordinate space where locations are registered. In this space, variability is greatly reduced. A training set... View full abstract»

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  • Robust image watermarking using inversely proportional embedding

    Publication Year: 2000, Page(s):182 - 186
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (96 KB)

    In just a few years, robustly embedding an imperceptible watermark into a digital image for the purpose of ownership verification and copy control, has been widely investigated and studied. One of the remaining challenges for robust image watermarking is to design secure encoding/decoding schemes that reliably verify the embedded but possibly corrupted watermark. In this paper, we introduce a modi... View full abstract»

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  • MPEG-1 super-resolution decoding for the analysis of video still images

    Publication Year: 2000, Page(s):13 - 17
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (480 KB)

    A digital image sequence coded at low bitrate using a motion-compensated video compression standard should contain little data redundancy. However, the success of a particular super-resolution enhancement algorithm is predicted on super-resolution overlap (i.e., redundancy) of moving objects from frame-to-frame. If an MPEG-1 bitstream is coded at a relatively high bitrate (e.g., a compression rati... View full abstract»

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  • Modulation domain image segmentation

    Publication Year: 2000, Page(s):46 - 50
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (148 KB)

    We present a modulation domain technique for segmenting textured images modeled as 2D multicomponent AM-FM functions. A Gabor filter bank is used to derive estimates of the dominant modulations at each image point and statistical clustering is then performed with respect to a similarity measure-based modulation domain entropy. Post processing is applied in the image domain to regularize the soluti... View full abstract»

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  • Non-invasive 3D dynamic object analysis

    Publication Year: 2000, Page(s):214 - 218
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (80 KB)

    A non-invasive system is required to obtain three-dimensional subject extraction and description for recognition by gait. Of current three-dimensional systems, multi-view approaches appear to be the most suitable. To handle not only concavities, but also noise and occlusion, the volume intersection approach has been formulated as an evidence gathering process for moving object extraction. Results ... View full abstract»

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  • Analysis of determining camera position via Karhunen-Loeve transform

    Publication Year: 2000, Page(s):88 - 92
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (124 KB)

    The Karhunen-Loeve transform (KLT) can be used to compress sets of correlated visual data. Human faces and object recognition are popular areas of current research that use KLT-based methods. The KLT can also be used to compress visual data corresponding to a camera moved translationally and/or rotationally relative to a scene. Positioning of a camera relative to a scene can then be derived accura... View full abstract»

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  • Automated initialization and automated design of border detection criteria in edge-based image segmentation

    Publication Year: 2000, Page(s):26 - 30
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (136 KB)

    An automated model-based image segmentation method is presented. Information for image segmentation is automatically derived from a training set provided in a form of segmentation examples. In the first step, an approximate location of the object of interest is determined. In the second step, accurate border segmentation is performed. The method was tested in five different segmentation tasks that... View full abstract»

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  • A neural network approach to geographic image analysis

    Publication Year: 2000, Page(s):58 - 62
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (560 KB)

    We have developed a method based on the precise pixel-to-pixel matching between two images. This is done by automatic generation of displacement vectors, carrying the information of differences between the two images. For generating a layer of vectors defining the information of displacement we use a neural network with self-learning architecture. The proposed algorithm perform successful mapping,... View full abstract»

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  • Morphological pyramid image registration

    Publication Year: 2000, Page(s):227 - 231
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (156 KB)

    We propose an intensity-based morphological pyramid image registration algorithm. This approach utilizes the global affine transformation model, also considering radiometric changes between images. With the morphological pyramid structure, Levenberg-Marquardt optimization, and bilinear interpolation, this algorithm can be implemented hierarchically and iteratively with capability of measuring, to ... View full abstract»

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  • Tubular objects network detection from 3D images

    Publication Year: 2000, Page(s):96 - 100
    Cited by:  Papers (2)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (100 KB)

    We present an approach to the tree representation of a tubular object network. The full 3D tracking algorithm for a single tubular structure is detailed. Detection of bifurcations by a connectivity approach is then exposed. We show subvoxel accuracy and reliable orientation estimation for the tracking process on synthetic images. Bifurcations are also well detected on a complex synthetic image. Fi... View full abstract»

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  • Pairwise Markov random fields and its application in textured images segmentation

    Publication Year: 2000, Page(s):106 - 110
    Cited by:  Papers (16)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (132 KB)

    The use of random fields, which allows one to take into account the spatial interaction among random variables in complex systems, is a frequent tool in numerous problems of statistical image processing, like segmentation or edge detection. In statistical image segmentation, the model is generally defined by the probability distribution of the class field, which is assumed to be a Markov field, an... View full abstract»

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  • Two-dimensional phase unwrapping using neural networks

    Publication Year: 2000, Page(s):274 - 277
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (64 KB)

    Imaging systems that construct an image from phase information in received signals include synthetic aperture radar (SAR) and optical Doppler tomography (ODT) systems. A fundamental problem in the image formation is phase ambiguity, i.e., it is impossible to distinguish between phases that differ by 2π. Phase unwrapping in two dimensions essentially consists of detecting the pixel locations of ... View full abstract»

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  • Content based retrieval for remotely sensed imagery

    Publication Year: 2000, Page(s):161 - 165
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (188 KB)

    We present a framework for content based retrieval (CBR) of remotely sensed imagery. The main focus of our research is the segmentation step in CBR. A bank of Gabor filters is used to extract regions of homogeneous texture. These filter responses are utilized in a multiscale clustering technique to yield the final segmentation. Novel area morphological filters are utilized for the purpose of scali... View full abstract»

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  • Analysis of the spectral properties of the Radon transform for the design of optimal sampling grids

    Publication Year: 2000, Page(s):126 - 130
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (236 KB)

    The sampling theorem also known as Shannon theorem is the basis for digital signal processing and computer based algorithms. A great number of publications is devoted to sampling and reconstruction of signals. Spectral properties of the underlying continuous signals and different kinds of applications require a specific approach in designing an optimal sampling grid. For doing this, in the domain ... View full abstract»

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